Category/Area of Expertise: Data-Science & Analytics
Job Requisition: 561335
Address: USA-SC-Mauldin-211 BiLo Boulevard
Store Code: Arch/Data - Business Intell & Analy (5119285)
Primary PurposeThe
Staff Data & AI Platform Engineer operates as a senior technical authority who designs reference architectures and reusable patterns for data ingestion, transformation, storage, and delivery-embedding automation, observability, and security into every stage.
Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations (Chicago, IL | Quincy, MA | Salisbury, NC | Mauldin, SC| Scarborough, ME)
and 2 remote days. Applicants must be currently authorized to work in the United States on a full-time basis.Duties & Responsibilities- Design reusable patterns for batch and streaming ingestion, transformations, and data product delivery, optimizing for performance and scale.
- Build automation for quality, lineage, and governance checks integrated into CI/CD, including deployment scripts and pipeline templates that reduce manual effort.
- Create and evolve internal tooling, developer platforms, and golden paths that improve reliability and time-to-delivery for data teams.
- Harden security and privacy controls (access, encryption, masking) across platforms and pipelines, integrating controls into automated delivery workflows.
- Elevate reliability with SLOs, telemetry, monitoring/logging/tracing, and automated rollback/reprocessing; contribute to observability implementations (e.g., DataDog).
- Integrate and optimize cloud services and container orchestration where relevant to improve scalability and reduce operational toil.
- Maintain infrastructure as code and repeatable environments using tools such as Terraform, Ansible, or CloudFormation.
- Guide solution decisions for complex programs; run technical reviews and threat/quality modeling to ensure robust outcomes.
- Document standards, playbooks, and reusable components to reduce rework and improve consistency across teams.
- Coach teams on data modeling, performance optimization, and design thinking for data consumer experience.
- May be called upon to support critical escalations and must be available during urgent IT incidents as needed.
Required Qualifications- Bachelor's degree or equivalent years of work experience.
- 10+ years in data engineering with large scale systems.
- 10+ years working with Azure
- 5+ years working with Databricks
- 5+ years working with Datadog
- Proficiency in distributed data processing, orchestration, and storage patterns.
- Strong automation/scripting skills and version control practices.
- Excellent cross team communication and influence.
Preferred Qualifications- Experience with feature stores and ML ready data patterns.
- Knowledge of cost optimization and workload right sizing.
Salary Range: $136,160.00-$204,240.00
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
